Predictive significance of body composition indices in patients with head and neck squamous cell carcinoma treated with nivolumab: A multicenter retrospective study

Abstract

Background: The identification of predictive factors is imperative for identifying patients with optimal responses to nivolumab. We aimed to determine whether body composition parameters can predict treatment outcomes in patients with head and neck squamous cell carcinoma (HNSCC) treated with nivolumab.

Method: We performed a multicenter retrospective chart review of patients with recurrent and/or metastatic HNSCC treated with nivolumab between 2017 and 2020. Computed tomography images and anthropometric measures were used to determine the skeletal muscle index (SMI), subcutaneous adipose index, visceral adipose index (VAI), and body mass index. Objective response, overall survival (OS), progression-free survival (PFS), and severe immune-related adverse events (irAEs) were the main outcomes. Odds ratios (ORs) and hazard ratios (HRs) for low-index groups compared with high-index groups were calculated for these outcomes.

Results: Our study comprised 114 patients with a median follow-up period of 23.1 months. Low SMI and low VAI were significantly associated with poor disease control [OR: 0.39, 95% confidence interval (CI): 0.15-0.97] and poor response (OR: 0.38, 95% CI: 0.15-0.94), respectively. Low SMI independently predicted poor OS (HR: 2.06, 95% CI: 1.16-3.67), poor PFS (HR: 1.74, 95% CI: 1.04-2.92), and increased incidence of irAEs (OR: 6.00, 95% CI: 1.04-34.61). Low VAI independently predicted poor PFS (HR 2.07, 95% CI: 1.15-3.73).

Conclusion: The SMI and VAI are predictive factors of nivolumab therapy in patients with HNSCC. Body composition indices should be assessed before nivolumab treatment for achieving optimal responses to nivolumab.

Keywords: Body composition; Head and neck cancer; Skeletal muscle index.